Modeling the Conflicts of Crossing Pedestrian With Vehicles in Turning Right at Signalized Intersections
| dc.contributor.advisor | Bikila, Teklu (PhD) | |
| dc.contributor.author | Michael, Asseged | |
| dc.date.accessioned | 2020-02-10T07:58:26Z | |
| dc.date.accessioned | 2023-11-11T12:53:34Z | |
| dc.date.available | 2020-02-10T07:58:26Z | |
| dc.date.available | 2023-11-11T12:53:34Z | |
| dc.date.issued | 2019-06 | |
| dc.description.abstract | A great number of problems persist in Addis Ababa traffic networks for its huge population. The high level of conflict between pedestrians and motor vehicles at intersections is one of the most obvious. It is necessary to study the interaction mechanism of pedestrians and right-turn vehicles in Addis Ababa, Ethiopia. This paper focuses on the development of an empirical model which describes the interaction of pedestrians and motor vehicles at right turns. Four intersections have been selected based on crossing pedestrian volume, right turn vehicle volume, location of crosswalk and right turn vehicle controlling mechanism. Vehicle and pedestrian movement and conflict data were collected at each camera location during the mid-day (11:00am-2:00pm) periods. In this study multiple linear and Poisson regression analysis techniques employed to model the number of potential conflicts between right turning vehicles and pedestrians. Stepwise modelselection techniques used to screen out predictors. The selected predictor variables are pedestrian volume, right turn volume and number of lanes. It has been found that an increase in right turn vehicle volume significantly affects the number of conflicts more than pedestrian volume and number of lanes has an inverse relationship with number of conflicts. Also a binary logistic regression model has been developed for pedestrian yielding decision. The key predictor variables according to the stepwise regression result are population of pedestrian group, volume of right turn vehicle, turning speed, Direction of pedestrian and Location of cross walk. The result showed that pedestrian yielding is less likely to occur as the people in pedestrian group increases and when the location of cross walk is near to the intersection. Pedestrian yielding is more likely to occur as right turn vehicle volume increases, right turn vehicle turning speed increases and when pedestrian crosses from near side to far side. The results from this analysis can be used in order to evaluate signalized intersections with respect to the risk they impose on pedestrians. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/20587 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | pedestrian | en_US |
| dc.subject | right turn vehicle | en_US |
| dc.subject | traffic conflict | en_US |
| dc.subject | conflict area | en_US |
| dc.subject | regression model | en_US |
| dc.subject | signalized intersection | en_US |
| dc.title | Modeling the Conflicts of Crossing Pedestrian With Vehicles in Turning Right at Signalized Intersections | en_US |
| dc.type | Thesis | en_US |